Start Here: Applied Quantitative Methods for Health Research

Applied Quantitative Methods for Health Research

This blog organizes teaching materials into a structured course for healthcare research graduate students, epidemiology students, and early-career scholars entering quantitative research. It combines short course summaries, STATA commands, and interpretation guidance built from the DATA with STATA site and your uploaded teaching notes.

STATA playlist

Open the full YouTube playlist

How to use this course

  1. Read the module summary.
  2. Watch the playlist videos that match the topic.
  3. Run the STATA commands.
  4. Focus on interpretation and model choice, not just estimation.

Course modules

  • Module 1: Introduction to Data, Variables, and STATA
  • Module 2: Foundations of Regression (OLS)
  • Module 3: Binary Outcomes and Why OLS Fails
  • Module 4: Regression with Dummy Variables
  • Module 5: Logistic Regression
  • Module 6: Odds Ratios vs Risk Ratios
  • Module 7: Choosing Between Logistic, Log-Binomial, Poisson, and Probit Models
  • Module 8: Interpretation for Policy and Health Research

Course note: this site is designed to help students understand not just how to run models, but how to choose, interpret, and explain them in applied health research.

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